| Delay-optimal traffic engineering through multi-agent reinforcement learning P Pinyoanuntapong, M Lee, P Wang IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops …, 2019 | 28 | 2019 |
| Fedair: Towards multi-hop federated learning over-the-air P Pinyoanuntapong, P Janakaraj, P Wang, M Lee, C Chen 2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020 | 17 | 2020 |
| Edgeml: towards network-accelerated federated learning over wireless edge P Pinyoanuntapong, P Janakaraj, R Balakrishnan, M Lee, C Chen, ... Computer Networks 219, 109396, 2022 | 10 | 2022 |
| Toward scalable and robust AIoT via decentralized federated learning P Pinyoanuntapong, WH Huff, M Lee, C Chen, P Wang IEEE Internet of Things Magazine 5 (1), 30-35, 2022 | 10 | 2022 |
| Towards in-band telemetry for self driving wireless networks P Janakaraj, P Pinyoanuntapong, P Wang, M Lee IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops …, 2020 | 9 | 2020 |
| Distributed multi-hop traffic engineering via stochastic policy gradient reinforcement learning P Pinyoanuntapong, M Lee, P Wang 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 7 | 2019 |
| Software defined wireless mesh networks: from theory to practice P Pinyoanuntapong Wichita State University, 2017 | 5 | 2017 |
| Sim-to-real transfer in multi-agent reinforcement networking for federated edge computing P Pinyoanuntapong, T Pothuneedi, R Balakrishnan, M Lee, C Chen, ... 2021 IEEE/ACM Symposium on Edge Computing (SEC), 355-360, 2021 | 4 | 2021 |
| DHA-FL: Enabling Efficient and Effective AIoT via Decentralized Hierarchical Asynchronous Federated Learning WH Huff, R Balakrishnan, H Feng, M Lee, P Wang, C Chen MLSys 2023 Workshop on Resource-Constrained Learning in Wireless Networks, 2023 | | 2023 |
| Reinforcement Learning Based Multi-Layer Traffic Engineering for Intelligent Wireless Networking: From System to Algorithms P Pinyoanuntapong The University of North Carolina at Charlotte, 2023 | | 2023 |
